code: def test_mixed_precision(self):
      x = np.ones((4, 4))
  
      layer = layers.Dense(2, dtype="float16")
      y = layer(x)
      self.assertEqual(layer.compute_dtype, "float16")
      self.assertEqual(layer.variable_dtype, "float16")
      self.assertEqual(backend.standardize_dtype(y.dtype), "float16")
  
      layer = layers.Dense(2, dtype="mixed_float16")
      y = layer(x)
      self.assertEqual(layer.compute_dtype, "float16")
      self.assertEqual(layer.variable_dtype, "float32")
      self.assertEqual(backend.standardize_dtype(y.dtype), "float16")
      self.assertEqual(layer.kernel.dtype, "float32")
  
imports: import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import metrics
  from keras import models
  from keras import ops
  from keras import testing
label_desc: Use image node_id 10 for calling the LayerTest obj's underlying member method code with example usage: obj.test_mixed_precision() without return types